Machine Learning vs. Deep Learning

Machine Learning vs. Deep Learning vs. Artificial Intelligence from Coding compiler. Machine learning is one of the industry trends of these years, there is no doubt. Or was it deep learning? Or Artificial Intelligence? What is the difference?

Deep learning is considered as a sub-field of machine learning , which in turn is a branch of artificial intelligence (Artificial Intelligence). Machine learning includes all (sometimes very different) methods of classification or regression that the machine itself learns through human-led training. In addition, machine learning also includes unsupervised methods for data mining in particularly large and diverse amounts of data.

Deep learning is a sub-type of machine learning and does basically nothing else: it’s about trained classification or regression. Less commonly, deep learning algorithms are also used as an unsupervised learning mechanism for learning pattern noise (data mining). Deep learning refers to the use of artificial neural networks, which are often superior to other methods of machine learning and have other advantages and disadvantages.

This is article is the first article series “Getting Started in Deep Learning“.

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